上海交通大学学报(英文版) ›› 2011, Vol. 16 ›› Issue (6): 652-657.doi: 10.1007/s12204-011-1206-4

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A Selection Scheme for Optimum Number of   Cooperative Secondary Users in Spectrum Sensing

LIN Ying-pei   (林英沛),    HE Chen   (何  晨),    JIANG Ling-ge   (蒋铃鸽),    HE Di   (何  迪)   

  1. (Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • 收稿日期:2010-11-09 出版日期:2011-12-30 发布日期:2012-01-12
  • 通讯作者: LIN Ying-pei (林英沛) E-mail:linyingpei@gmail.com

A Selection Scheme for Optimum Number of   Cooperative Secondary Users in Spectrum Sensing

LIN Ying-pei   (林英沛),    HE Chen   (何  晨),    JIANG Ling-ge   (蒋铃鸽),    HE Di   (何  迪)   

  1. (Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2010-11-09 Online:2011-12-30 Published:2012-01-12
  • Contact: LIN Ying-pei (林英沛) E-mail:linyingpei@gmail.com

摘要:  An optimization scheme for choosing the
optimum number of secondary users in cooperative spectrum sensing
based on the cyclostationary feature detection with Neyman-Pearson
criterion is proposed in this paper. The optimal soft combination
test statistic for the cooperative spectrum sensing based on
cyclostationary feature detection is derived according to the
generalized likelihood ratio test and its corresponding detection
performance is deduced. A target function, considering two important
parameters as the resource use efficiency and the number of samples
employed by each cooperative secondary user in the system design, is
constructed to obtain the optimum number of cooperative secondary
users. It can be found that the selection scheme is to make a
tradeoff between the system complexity of the cognitive radio
network and the global sensing performance of the cooperative
spectrum sensing.

关键词:  cognitive radio, cooperative spectrum sensing,
cyclostationary feature detection,
optimum number

Abstract:  An optimization scheme for choosing the
optimum number of secondary users in cooperative spectrum sensing
based on the cyclostationary feature detection with Neyman-Pearson
criterion is proposed in this paper. The optimal soft combination
test statistic for the cooperative spectrum sensing based on
cyclostationary feature detection is derived according to the
generalized likelihood ratio test and its corresponding detection
performance is deduced. A target function, considering two important
parameters as the resource use efficiency and the number of samples
employed by each cooperative secondary user in the system design, is
constructed to obtain the optimum number of cooperative secondary
users. It can be found that the selection scheme is to make a
tradeoff between the system complexity of the cognitive radio
network and the global sensing performance of the cooperative
spectrum sensing.

Key words:  cognitive radio, cooperative spectrum sensing,
cyclostationary feature detection,
optimum number

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